Human Fatigue Evaluation During Smart Working Sessions

2021 ◽  
Vol 396 (1) ◽  
pp. 2000311
Author(s):  
Marta Rinaldi ◽  
Mario Caterino ◽  
Pasquale Manco ◽  
Fabio Fruggiero ◽  
Alfredo Lambiase
Keyword(s):  
Human Fatigue ◽  
Smart Working ◽  
Fatigue Evaluation

scholarly journals Human Fatigue Evaluation by Face's Image Analysis Based upon Convolutional Neural Networks

2021 ◽  
Vol 24 (4) ◽  
pp. 582-603
Author(s):  
Azat Ilgizovich Bairamov ◽  
Timur Ruslanovich Faskhutdinov ◽  
Denis Marselevich Timergalin ◽  
Rustem Raficovich Yamikov ◽  
Vitaly Rudolfovich Murtazin ◽  
...  
Keyword(s):  
Neural Networks ◽  
Image Analysis ◽  
Convolutional Neural Networks ◽  
Recognition Problem ◽  
Human Fatigue ◽  
Fatigue Evaluation

This article presents solutions to the person's fatigue recognition problem by the face's image analysis based on convolutional neural networks. In the present paper, existing algorithms were considered. A new model's architecture was proposed and implemented. Resultant metrics of the model were evaluated.

scholarly journals An adaptable human fatigue evaluation system

2021 ◽  
Vol 192 ◽  
pp. 1274-1284
Author(s):  
Eglė Butkevičiūtė ◽  
Matīss Eriņš ◽  
Liepa Bikulčienė
Keyword(s):  
Evaluation System ◽  
Human Fatigue ◽  
Fatigue Evaluation

scholarly journals Workers’ Aging Management—Human Fatigue at Work: An Experimental Offices Study

2020 ◽  
Vol 10 (21) ◽  
pp. 7693
Author(s):  
Marcello Fera ◽  
Vittoria De Padova ◽  
Valentina Di Pasquale ◽  
Francesco Caputo ◽  
Mario Caterino ◽  
...  
Keyword(s):  
Operations Management ◽  
Technology Use ◽  
Technology Selection ◽  
Safety Level ◽  
Work Activities ◽  
Industrial Companies ◽  
Industrial Operations ◽  
Human Fatigue ◽  
Fatigue Evaluation ◽  
The Impact

The aging issue in the work context is becoming a significant element of the future sustainability of service and industrial companies. It is well known that with increasing worker age the problem of maintaining the performance and the safety level when fatigue increases is a crucial point, and fatigue increases with the age. Due to social and political developments, especially in Western countries, the retirement age is increasing and companies operate with a higher workforce mean age. Therefore, the problem of recognizing and measuring fatigue has become a key aspect in the management of aging. Note that in the scientific engineering field, the problem of fatigue evaluation when a worker is performing his/her work activities is an important issue in the industrial and service world and especially in the context of the researchers that are investigating the human reliability assessment. As it is clear from the literature, the industrial operations management are suffering from some misleading concepts that only the medicine scientific context can clarify. Therefore, the aim of this paper is to define what are the open issues and the misleading concepts present in the classical fatigue evaluation methods, and second to define two experimental curves of fatigue that will help the decision makers to minimize the impact of fatigue on the workers, thus maximizing the sustainability of the working tasks assigned. This aim is achieved by examining the medical literature about the measurement of a particular kind of fatigue related to the circadian cycle, i.e., the cognitive one; after that, a survey about the possible technologies for measurements is performed. On the basis of technology selection, an experiment on real work activities is performed and some remarkable results about the fatigue in the workers observed and the technology use and its limitations are defined.

Symptom Validity Testing

2018 ◽  
Vol 23 (6) ◽  
pp. 14-15
Author(s):  
Lee H. Ensalada
Keyword(s):  
Memory Deficits ◽  
Symptom Validity ◽  
Sensory Cues ◽  
Validity Testing ◽  
Symptom Validity Testing ◽  
Tunnel Vision ◽  
Blurry Vision ◽  
The Common ◽  
Fatigue Evaluation ◽  
Choice Testing

Abstract Symptom validity testing (SVT), also known as forced-choice testing, is a means of assessing the validity of sensory and memory deficits, including tactile anesthesias, paresthesias, blindness, color blindness, tunnel vision, blurry vision, and deafness. The common feature among these symptoms is a claimed inability to perceive or remember a sensory signal. SVT comprises two elements: a specific ability is assessed by presenting a large number of items in a multiple-choice format, and then the examinee's performance is compared to the statistical likelihood of success based on chance alone. These tests usually present two alternatives; thus the probability of simply guessing the correct response (equivalent to having no ability at all) is 50%. Thus, scores significantly below chance performance indicate that the sensory cues must have been perceived, but the examinee chose not to report the correct answer—alternative explanations are not apparent. SVT also has the capacity to demonstrate that the examinee performed below the probabilities of chance. Scoring below a norm can be explained by fatigue, evaluation anxiety, inattention, or limited intelligence. Scoring below the probabilities of chance alone most likely indicates deliberate deceptions and is evidence of malingering because it provides strong evidence that the examinee received the sensory cues and denied the perception. Even so, malingering must be evaluated from the total clinical context.

Impairment Questions and Answers

1999 ◽  
Vol 4 (4) ◽  
pp. 4-4
Keyword(s):  
Symptom Validity ◽  
Validity Testing ◽  
Symptom Validity Testing ◽  
Negative Results ◽  
Tunnel Vision ◽  
Questions And Answers ◽  
Blurry Vision ◽  
Fatigue Evaluation ◽  
Choice Testing ◽  
Rule Out

Abstract Symptom validity testing, also known as forced-choice testing, is a way to assess the validity of sensory and memory deficits, including tactile anesthesias, paresthesias, blindness, color blindness, tunnel vision, blurry vision, and deafness—the common feature of which is a claimed inability to perceive or remember a sensory signal. Symptom validity testing comprises two elements: A specific ability is assessed by presenting a large number of items in a multiple-choice format, and then the examinee's performance is compared with the statistical likelihood of success based on chance alone. Scoring below a norm can be explained in many different ways (eg, fatigue, evaluation anxiety, limited intelligence, and so on), but scoring below the probabilities of chance alone most likely indicates deliberate deception. The positive predictive value of the symptom validity technique likely is quite high because there is no alternative explanation to deliberate distortion when performance is below the probability of chance. The sensitivity of this technique is not likely to be good because, as with a thermometer, positive findings indicate that a problem is present, but negative results do not rule out a problem. Although a compelling conclusion is that the examinee who scores below probabilities is deliberately motivated to perform poorly, malingering must be concluded from the total clinical context.

scholarly journals Research on Strength Test Technology and Fatigue Evaluation Method of Bogie Frame and Body Bolster

2021 ◽  
Vol 1972 (1) ◽  
pp. 012038
Author(s):  
Cao Yu ◽  
Lu Chong ◽  
Li Zihua ◽  
Song Jie ◽  
Ding Xiebin
Keyword(s):  
Evaluation Method ◽  
Strength Test ◽  
Bogie Frame ◽  
Test Technology ◽  
Fatigue Evaluation

scholarly journals Teaching during the Pandemic: A Comparison in Psychological Wellbeing among Smart Working Professions

2021 ◽  
Vol 13 (9) ◽  
pp. 4850
Author(s):  
Emanuela Mari ◽  
Giulia Lausi ◽  
Angelo Fraschetti ◽  
Alessandra Pizzo ◽  
Michela Baldi ◽  
...  
Keyword(s):  
Ad Hoc ◽  
Well Being ◽  
Total Sample ◽  
Italian Population ◽  
Online Questionnaire ◽  
Psychological Variables ◽  
Group Methods ◽  
Random Probability ◽  
Smart Working ◽  
Restrictive Measures

Background: As a result of the COVID-19 pandemic, since March 2020, the Italian population was forced into lockdown to prevent the spread of the virus. The restrictive measures imposed forced many organizations and workers to work through online platforms and no longer in-person. Smart working, enjoyed by some workers for its flexibility, affected several professional categories. The purpose of this study was to investigate whether there are differences in the psychological variables related to four groups of professional categories (practitioners, managers, executive employees, teachers), particularly the teachers group. Methods: A total sample of 628 individuals was recruited through a random probability sample across Italy. Due to the lockdown, an online questionnaire was developed; several validated scales were chosen, and some ad hoc constructed items related to the smart working experience were included. Results: The results showed statistically significant differences between the four groups of examined smart workers. Conclusions: All workers have had to readjust to this new way of working, but our results show that teachers were the most affected, both in the perception of their psychological well-being and in the management of the smart working mode.

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